Methods for Creating, Accessing and Assigning OMs objects

The OMs function is used both to create and modify an OMs-class() object. and to access and assign OMs for an object of class Slick-class(). See Details.

Usage

OMs(Factors = data.frame(), Design = data.frame(), Preset = list())

OMs(object) <- value

# S4 method for missing
OMs()

# S4 method for dataframe_list
OMs(Factors = data.frame(), Design = data.frame(), Preset = list())

Arguments

Factors: A data.frame with column headings Factor, Level, and Description. See Details
Design: A data.frame with nFactor columns (i.e., length(unique(Factors$Factor))), and nOM rows. See Details
Preset: An optional named list for the preset buttons in the App(). The name of the list element will appear as a button in the App().
object: A Slick-class() object
value: A OMs-class() object

Details

Factors

Factors can be accessed and assigned using Factors(myslick) and Factors(myslick) <- data.frame() respectively.

The Factor column should be character strings with the name of each factor, while the Level column is a numeric or character value with the level for the corresponding factor.

The Description column is a description for each row, i.e., a unique factor and level. See Examples.

Design

The Design matrix is nOM rows and nFactor columns. The values in each column should either be numeric values indicating the levels for the corresponding factor, or the actual level values (i.e., Factors$Level) that correspond to each OM. See Examples.

Use Factors(), Design(), and Preset() to access and assign the values for an existing OMs object, see Examples.

Functions

OMs(missing): Create an empty OMs object
OMs(dataframe_list): Create a populated OMs object

Examples


myOMs <- OMs()

Metadata(myOMs) <- data.frame()
#> Error: unable to find an inherited method for function ‘Metadata<-’ for signature ‘object = "OMs"’


# Design <- expand.grid(M=c(0.1, 0.2, 0.3), h=c(0.7,0.9))
#' Description <- list(c('Natural mortality (M) = 0.1',
#'                       'Natural mortality (M) = 0.2',
#'                       'Natural mortality (M) = 0.3'),
#'                     c('Steepness (h) = 0.7',
#'                       'Steepness (h) = 0.9'))
#' Label <- list(c(M=0.1, M=0.2, M=0.3),
#'                c(h=0.7, h=0.9))
#' myOMs <- OMs(Design, Description, Label)

#' mySlick <- Slick()
#' Design(mySlick) <- data.frame(M=c(0.1, 0.2, 0.3),
#'                               h=c(0.6, 0.7, 0.8)
#'                              )
#' Design(mySlick)

Methods for Creating, Accessing and Assigning `OMs` objects